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+/***************************************************************************************************
+ * Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.
+ *
+ * Redistribution and use in source and binary forms, with or without modification, are permitted
+ * provided that the following conditions are met:
+ * * Redistributions of source code must retain the above copyright notice, this list of
+ * conditions and the following disclaimer.
+ * * Redistributions in binary form must reproduce the above copyright notice, this list of
+ * conditions and the following disclaimer in the documentation and/or other materials
+ * provided with the distribution.
+ * * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
+ * to endorse or promote products derived from this software without specific prior written
+ * permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
+ * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
+ * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
+ * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
+ * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
+ * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ *
+ **************************************************************************************************/
+/*! \file
+ \brief Implements the BLAS linear scaling function alpha*AB + beta*C
+*/
+#pragma once
+
+#include <cutlass/fragment_multiply_add.h>
+
+namespace cutlass {
+namespace gemm {
+
+////////////////////////////////////////////////////////////////////////////////////////////////////
+
+/// Functor to compute linear combination of fragments
+template <typename Scalar_, typename FragmentMultiplyAdd_ = FragmentMultiplyAdd<Scalar_> >
+struct LinearScaling {
+ // The scalar.
+ typedef Scalar_ Scalar;
+ // The adapater.
+ typedef FragmentMultiplyAdd_ FragmentMultiplyAdd;
+
+ /// The parameters.
+ struct Params {
+ /// The alpha/beta scaling params.
+ Scalar alpha, beta;
+
+ /// Initialize the parameters.
+ template <typename GemmDesc_>
+ CUTLASS_HOST_DEVICE int initialize(GemmDesc_ const& desc) {
+ alpha = desc.alpha;
+ beta = desc.beta;
+ return 0;
+ }
+ };
+
+ /// Ctor.
+ CUTLASS_DEVICE LinearScaling(Params const& params) : alpha(params.alpha), beta(params.beta) {}
+
+ /// Evaluate the functor.
+ template <typename FragmentA_, typename FragmentB_>
+ CUTLASS_DEVICE void evaluate(FragmentA_ const& accum, FragmentB_& output) {
+ FragmentMultiplyAdd mad;
+ mad.multiply(alpha, accum, output);
+ }
+
+ /// Evaluate the functor.
+ template <typename FragmentA_, typename FragmentB_>
+ CUTLASS_DEVICE void evaluate(FragmentA_ const& accum, FragmentB_ const& old, FragmentB_& output) {
+ FragmentMultiplyAdd mad;
+ FragmentB_ tmp;
+ mad.multiply(beta, old, tmp);
+ mad.multiply_add(alpha, accum, tmp, output);
+ }
+
+ /// The alpha/beta scaling factors.
+ Scalar alpha, beta;
+};
+
+////////////////////////////////////////////////////////////////////////////////////////////////////
+
+} // namespace gemm
+} // namespace cutlass